Postdoc in Computer Science, Stanford University; Ph.D. in Photogrammetry and Remote Sensing (WHU); Earth Vision Researcher (EVer)
pytorch-change-models. torchange - A Unified Change Representation Learning Benchmark Library
257ChangeStar. Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021) https://arxiv.org/abs/2108.07002
191FarSeg. Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery (CVPR 2020 & TPAMI 2023) https://arxiv.org/pdf/2011.09766.pdf
169FreeNet. FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification (TGRS 2020) https://ieeexplore.ieee.org/document/9007624
103ever. Earth Vision Foundation
101ChangeOS. ChangeOS: Building damage assessment via Deep Object-based Semantic Change Detection - (RSE 2021)
92Changen. Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process (ICCV 2023)
69SimpleCV. Simplify training, evaluation, prediction in Pytorch
63dynamic_highres_poverty. Dynamic, high-resolution poverty measurement in data-scarce environments
11xview2_4th_solution. xView2_fourth_place
6Unet.tensorflow. Unet implemented by tensorflow eager
3torchprofile. A general and accurate MACs / FLOPs profiler for PyTorch models
1awesome-semantic-segmentation. :metal: awesome-semantic-segmentation
1SpaceNet_SAR_Buildings_Solutions. The winning solutions for the SpaceNet 6 Challenge
1torchgeo. TorchGeo: datasets, transforms, and models for geospatial data
1Z-Zheng.github.io. HTML
1images_repo.
1G-SDD_For_RS. G-SSD For Remote Sensing Image
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